4.1Standard
Compare approval support by demographic group.
Inspect overall accuracy and unequal outcomes.
Choose two evaluations.
× Incorrect
Compare approval, false rejection, false acceptance, and review rates by group, then revisit thresholds, data, operations, and remedy with people.
Detailed explanation
IncorrectStop measuring after removing protected attributes
Proxy variables and outcome gaps can remain.
IncorrectEqual overall accuracy means equal impact
Accuracy and harm distribution can differ.
CorrectReview business rules, data, thresholds, and remedies with human stakeholders
Measurement leads to operational improvement and recourse.
CorrectCompare approval, false rejection, false acceptance, and review rates by group
Outcome and error differences are visible.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 4.1の公平性指標、影響、救済を確認する。
Official references
What to confirm
グループ別の結果差を測定し、閾値や業務運用の見直しへつなげられる。
Key points
- Approval rate
- False rejection
- Remedy
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Disparate impact
A materially different burden or benefit experienced by one group compared with another.
False rejection
A valid case incorrectly denied, blocked, or classified as negative.
Question IDAWS-AIF-246
EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
Last technical review2026-08-20
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